More recently, Sabour and Hinton proposed the Capsule network (CapsNet) to provide solutions to problems where CNN models are inadequate [1]}. In CapsNet, an activity vector from capsules represents the entity instantiation parameters such as pose, texture, and deformation. The existence of entities is expressed by the length of instantiation parameters. The dynamic routing mechanism is utilized for information propagation. It is empirically verified that the CapsNet is effective for remote sensing images analysis [2]} [3]}. As far as we know, the literature on the CapsNet-based SAR change detection is very sparse.
